code: def test_max_norm(self):
      constraint_fn = constraints.MaxNorm(2.0)
      x = np.array([[0, 0, 0], [1.0, 0, 0], [3, 0, 0], [3, 3, 3]]).T
      target = np.array(
          [
              [0, 0, 0],
              [1.0, 0, 0],
              [2.0, 0, 0],
              [2.0 / np.sqrt(3), 2.0 / np.sqrt(3), 2.0 / np.sqrt(3)],
          ]
      ).T
      output = constraint_fn(x)
      self.assertAllClose(target, output)
  
file_path: keras/keras/constraints/constraints_test.py
imports: import numpy
  from keras import backend
  from keras import constraints
  from keras import testing
label_desc: Use image node_id 1 for calling the ConstraintsTest obj's underlying member method code with example usage: obj.test_max_norm() without return types